/*
* Copyright (C) 2003-2006 Bjørn-Ove Heimsund
*
* This file is part of MTJ.
*
* This library is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published by the
* Free Software Foundation; either version 2.1 of the License, or (at your
* option) any later version.
*
* This library is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this library; if not, write to the Free Software Foundation,
* Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
package no.uib.cipr.matrix;
import org.junit.Test;
/**
* LQ test
*/
public class LQTest extends OrthogonalTestAbstract {
@Test
public void testStaticFactorize() {
assertLQEquals(A, LQ.factorize(A));
}
@Test
public void testRepeatStaticFactorize() {
assertLQEquals(A, LQ.factorize(A));
assertLQEquals(A, LQ.factorize(A));
}
@Test
public void testFactor() {
LQ lq = new LQ(A.numRows(), A.numColumns());
assertLQEquals(A, lq.factor(new DenseMatrix(A)));
}
@Test
public void testRepeatFactor() {
LQ lq = new LQ(A.numRows(), A.numColumns());
lq.factor(new DenseMatrix(A));
assertLQEquals(A, lq);
lq.factor(new DenseMatrix(A));
assertLQEquals(A, lq);
}
@Test
public void testStaticFactorizeNonSquare() {
assertLQEquals(Ac, LQ.factorize(Ac));
}
@Test
public void testRepeatStaticFactorizeNonSquare() {
assertLQEquals(Ac, LQ.factorize(Ac));
assertLQEquals(Ac, LQ.factorize(Ac));
}
@Test
public void testFactorNonSquare() {
LQ lq = new LQ(Ac.numRows(), Ac.numColumns());
assertLQEquals(Ac, lq.factor(new DenseMatrix(Ac)));
}
@Test
public void testRepeatFactorNonSquare() {
LQ lq = new LQ(Ac.numRows(), Ac.numColumns());
lq.factor(new DenseMatrix(Ac));
assertLQEquals(Ac, lq);
lq.factor(new DenseMatrix(Ac));
assertLQEquals(Ac, lq);
}
private void assertLQEquals(Matrix A, LQ lq) {
assertMatrixEquals(A, lq.getL().mult(lq.getQ(), A.copy().zero()));
}
}